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Audio recognition fingerpriting from live stream TV

$250-750 USD

Imefungwa
Imechapishwa about 5 years ago

$250-750 USD

Kulipwa wakati wa kufikishwa
Hello, I need audio recognition FINGERPRITING - ABSOLUTELY SAME WAY LIKE THIS: [login to view URL] Fingerpriting please read: [login to view URL] In database will be thousands of audio files! and need realtime detection - similiar like for second screen ad detection! Task Detection of ad samples/TV broadcast monitoring in a broadcast dump - ads are splitted to 4-5 seconds- i will provide original stram link and audio database with hundreds audio files! Conditions / MUST: Use machine learning 100% accurancy on 4+ second audio fragment live from TV stream, 100% no any NEGATIVE falses (wrong results) = actually are some movie in tv and will give result of cocacola ads for example 1-3% positive falses are permited results will be visible on windows same like MMT live visio, and will be also sended to postgree sql database also with exactly time (coca-cola - 13:09:24 and Date) deadline 20 days + 14 days for TESTING after are project finished ! you AGREE milestone payment will be released only with 100% no any negative falses, 1~3% positive falses are permited(0%positive falses = money bonus for you) ... ( we give you more ~10 days for improve quality - if there negative falses) what is positive, negative false: [login to view URL] [login to view URL]~ich/classes/mumt621_09/fingerprinting/[login to view URL] The false negative rate is generally used to express the robustness. A false negative occurs when the fingerprints of perceptually similar audio clips are too different to lead to a positive match. ... The rate at which this occurs is usually referred to as the false positive rate. Thanks for your helping and cooperation
Kitambulisho cha mradi: 18695074

Kuhusu mradi

6 mapendekezo
Mradi wa mbali
Inatumika 5 yrs ago

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6 wafanyakazi huru wana zabuni kwa wastani $546 USD kwa kazi hii
Picha ya Mtumiaji
⭐⭐⭐⭐ i am Full stack developer. ⭐⭐⭐⭐⭐⭐ I read through the job details extremely carefully and I am absolutely sure that I can do the project very well. * 4+ years experience in software development. * My major skills are C/C++/C#/QT/JAVA for software development. * Also I have team with 4 members. * I an our team developed many wep application, mobile application, windows application, linux application, also device control programming. * Also I have history of National ICPC and Codechef. * I will show you my previous work in private chat. If you hire me, you will get all what you want, Timely delivery 24 hours communication Hope to get your early response Thanks ----------
$555 USD ndani ya siku 10
5.0 (5 hakiki)
5.7
5.7
Picha ya Mtumiaji
Dear man I read your project description and I will do your project with high quality. I am a developer who developed livestreaming site. Please invite me so that we can discuss more details through chatting Thanks
$555 USD ndani ya siku 10
5.0 (16 hakiki)
5.8
5.8
Picha ya Mtumiaji
Hi,there. How are you doing? I have read your job post 'Audio recognition fingerpriting from live stream TV' and am appling to it. I am a senior full stack developer who has been dealing with this kind of things for the past 10 years. Please contact me for more discussion. I am ready to start immediately. Thanks in advance and I am waiting for your contact.
$555 USD ndani ya siku 3
4.4 (7 hakiki)
5.4
5.4
Picha ya Mtumiaji
The problem of audio recognition presented here is very similar to the Shazam mobile application. Shazam is a service that can recognize the music in the environment by using a microphone on mobile phones. The Shazam paper presents the basics of how to do music recognition, but the details on how to scale the solution for thousands of songs has been presented in a little obscure manner. This is where the real challenge lies for this problem statement presented here. The Shazam paper does not describe any neural network based methods for audio recognition. So my attempt would be to reproduce the work presented in the Shazam paper.
$555 USD ndani ya siku 15
0.0 (0 hakiki)
0.0
0.0

Kuhusu mteja

Bedera ya SLOVAKIA
Krusetnica, Slovakia
5.0
75
Njia ya malipo imethibitishwa
Mwanachama tangu Jan 21, 2019

Uthibitishaji wa Mteja

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